Matlab is a numerical computing environment and a programming language. Excellent for matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, Java, and Fortran.

Where can I get Matlab on Campus?

If you want staff on hand to assist you with Matlab, come to the Research Applications and Methods Center during our regular hours. If you have a complex problem, please contact us by phone (202-885-3862) or email to set-up an appointment, otherwise, just drop in!

Matlab can be accessed in the following campus computer labs:

Virtual Computing Lab
Anderson Computing Cluster

Matlab is also available for use on AU’s High Performance Cluster. This requires special permissions to use.

How can I get Matlab on my computer?

Matlab is available for access by any member of the AU community through AU Apps.

What Resources Can I Access Online?

Introduction to Matlab (handout, code, data)

Intermediate Matlab (handout, code, data)

UCLA School of Engineering and Applied Science

Matlab Official YouTube Channel (AU subscribed software support resource)

How can I get support using Matlab for research or for class?

What Workshops do you offer?

CTRL offers a variety of workshops each semester to train members of the AU community in the software that it supports. Examples of workshops we have offered in the past can be seen below, and you can follow the link to view our current schedule. If you are interested receiving training that is not listed in our regular workshop schedule, please contact us by email to request an appointment.

Introduction to Matlab:  Covers creating and manipulating matrices; programming basic components such as if-else statements, for and while loop controls; and creating functions and M scripts file.

Intermediate Matlab:  Covers implementation of Ordinary Least-Squares estimator using matrix notation and summations, solving system of FOC’s using a non-linear equation solver, unconstrained optimization procedures, and Matlab build-in “regress” function.

Schedule of Workshops  |  Request a New Workshop  |  Registration